[HN Gopher] Show HN: Visions - User defined data type systems
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       Show HN: Visions - User defined data type systems
        
       Visions is a python library for working with user defined data type
       systems. Out of the box, it provides type inference and automated
       data cleaning of sequence data with backend specific
       implementations for pandas, spark, python, and numpy. We often use
       it as a first pass cleaning step when working with tabular data and
       to simplify the backend logic of both pandas-profiling[1] and our
       tabular data compression library compressio[2].  Because data types
       are user defined, we can build user customizable libraries based
       around types without adding code complexity. In the case of
       compressio that means offering users the ability to use any
       compression algorithm they want by simply passing a dictionary
       mapping `{type: compression algorithm}` or defining new compression
       algorithms for otherwise unsupported data types like shapely
       geometries, images, etc.  We hope you like it and would really
       appreciate feedback about how to make the library more useful and
       easier to use.  P.S. If you're interested in learning more about
       the project, the original paper is available on JOSS[3] you can
       also check out our Numpy Global 2020 talk[4]  1.
       https://github.com/pandas-profiling/pandas-profiling  2.
       https://github.com/dylan-profiler/compressio  3.
       https://joss.theoj.org/papers/10.21105/joss.02145  4.
       https://www.youtube.com/watch?v=h2w99XIKizY
        
       Author : ersatz_username
       Score  : 30 points
       Date   : 2022-02-01 14:46 UTC (2 days ago)
        
 (HTM) web link (github.com)
 (TXT) w3m dump (github.com)
        
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       (page generated 2022-02-03 23:01 UTC)